Book Image

Julia 1.0 Programming Cookbook

By : Bogumił Kamiński, Przemysław Szufel
Book Image

Julia 1.0 Programming Cookbook

By: Bogumił Kamiński, Przemysław Szufel

Overview of this book

Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data
Table of Contents (18 chapters)
Title Page
Copyright and Credits
About Packt

Managing project dependencies

In the Managing packages recipe in Chapter 1Installing and Setting Up Julia, we explained how you can install and remove packages in the global environment.

However, when you develop your own application, you often need to have precise control over its dependencies. In this recipe, we explain how Julia supports this requirement.

Getting ready

Create a new folder on your computer and start the Julia command line in this folder. Running the pwd() command should return the path to the folder in which you want to create your project.

Make sure that the folder is empty. You can check it, for example, by running isempty(readdir()), which should return true.

Also, make sure that the StaticArrays package is not installed. Running the using StaticArrays command should throw the following error:

julia> using StaticArrays
ERROR: ArgumentError: Package StaticArrays not found in current path:
- Run `import Pkg; Pkg.add("StaticArrays")` to install the StaticArrays package...